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dc.contributor.authorKlinke, Sigberten_US
dc.contributor.authorWagner, Corneliaen_US
dc.date.accessioned2008-02-21en_US
dc.date.accessioned2009-07-23T15:03:35Z-
dc.date.available2009-07-23T15:03:35Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/25254-
dc.description.abstractExploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain an large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to visualize various models with different numbers in parallel of factors and to analyze which consequences a specific option has. We apply our method to dats collected at the School of Business and Economics for evaluation of lectures by students. These data were analyzed by Zhou (2004) and Reichelt (2007).en_US
dc.language.isoengen_US
dc.publisherSFB 649, Economic Risk Berlinen_US
dc.relation.ispartofseriesSFB 649 discussion paper 2008,012en_US
dc.subject.jelC39en_US
dc.subject.jelC45en_US
dc.subject.jelC63en_US
dc.subject.ddc330en_US
dc.subject.keywordFactor analysisen_US
dc.subject.keywordvisualizationen_US
dc.subject.keywordquestionnaireen_US
dc.subject.keywordevaluation of teachingen_US
dc.subject.stwFaktorenanalyseen_US
dc.subject.stwComputergraphiken_US
dc.subject.stwStudiumen_US
dc.subject.stwBewertungen_US
dc.subject.stwTheorieen_US
dc.subject.stwDeutschlanden_US
dc.titleVisualizing exploratory factor analysis modelsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn558751237en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:SFB 649 Discussion Papers, HU Berlin

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